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Security Scan Report: mercadolealhugo-i77syy2i35.edgeone.app

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Submitted: May 20, 2026, 11:36:44 AMCompleted: May 20, 2026, 11:38:04 AMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is mercadolealhugo-i77syy2i35.edgeone.app and was registered NaN years ago.

Submitted URL: https://mercadolealhugo-i77syy2i35.edgeone.app/18058-zig-ziglar.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Low risk page presenting an article about Zig Ziglar; no phishing, malware, or malicious activity detected.

Risk Factors
Subdomain creation date unknown (potentially brand‑new)
Low Cisco Umbrella ranking (#455,732) for the subdomain
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise detected
Page type is an article (news/blog) about a public figure
No network IDS alerts or malware detections
Domain age information unavailable

Details

Page Title

Zig Ziglar

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(54%)

Domain Information

The domain 'mercadolealhugo-i77syy2i35.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'mercadolealhugo-i77syy2i35'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://mercadolealhugo-i77syy2i35.edgeone.app/18058-zig-ziglar.html

Page Load Overview

12.04s
Total Load Time
20
HTTP Requests
12
Domains
104 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:4,304 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
54%
government public service
43%
corporate
35%
news media journalism
33%
healthcare medical
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.8.223United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2142.250.154.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.127.242United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13062E82FF280212CBF71029EA491F2BDBD29C013D7938DB469D5E36E87867D719B6184

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:BhnYf8zX+n/JKJ1J/cI8TEzRq2KUwP3k0hmczYYYrWag4MDw:Bhnz+nsJUVEzRq2K5P3X4czDYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15482:YAmIIirVwI8EFHkAJ5BASQaXYJCBYAUUIBgAZpAowTgAkVGQlI1iBFwp4Kp3CEmB6QMqfHgigNwUCQFQosEPCSj4JEwlgJIE

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:0000203c3c3c00ff
Perceptual Hash:c346bc4e864fc61e
Difference Hash:c09ac0c0c8c0d104
Wavelet Hash:38007c7c7e7c00ff
Color Hash:#1f931f

Other Hashes

Crop Resistant:0000000000000000,e096c0c8c8c0c01a

Scan History

Scan history not available

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